GitHub
pricing
Guide for updating model pricing in Splitrail. Use when adding new AI model costs or updating existing pricing data.
☆ 104View skill
tools machine learning AI Skills
Discover tools machine learning skills, compare source repositories and read the instructions for each workflow.
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GitHub
langchain4j-ai-services-patterns
Build declarative AI Services with LangChain4j using interface-based patterns, annotations, memory management, tools integration, and advanced application patterns. Use when implementing type-safe AI-powered fe...
☆ 98View skill
GitHub
signal-scoring
Use to design composite intent scoring models with decay, weighting, and governance.
☆ 90View skill
GitHub
forecast-discipline
Use to drive consistent forecast methodology, grading, and inspection cadences.
☆ 90View skill
GitHub
deal-quality-model
Scoring system for opportunity hygiene, win likelihood, and inspection prioritization.
☆ 90View skill
GitHub
forecast-modeling
Use when designing, tuning, or auditing revenue forecast models.
☆ 90View skill
GitHub
loyalty-modeling
Use to model economics, tiers, and impact forecasts for loyalty programs.
☆ 90View skill
GitHub
neural-network-design
Design and architect neural networks with various architectures including CNNs, RNNs, Transformers, and attention mechanisms using PyTorch and TensorFlow
☆ 84View skill
GitHub
classification-modeling
Build binary and multiclass classification models using logistic regression, decision trees, and ensemble methods for categorical prediction and classification
☆ 84View skill
GitHub
feature-engineering
Create and transform features using encoding, scaling, polynomial features, and domain-specific transformations for improved model performance and interpretability
☆ 84View skill
GitHub
ml-model-explanation
Interpret machine learning models using SHAP, LIME, feature importance, partial dependence, and attention visualization for explainability
☆ 84View skill
GitHub
time-series-analysis
Analyze temporal data patterns including trends, seasonality, autocorrelation, and forecasting for time series decomposition, trend analysis, and forecasting models
☆ 84View skill
GitHub
computer-vision
Implement computer vision tasks including image classification, object detection, segmentation, and pose estimation using PyTorch and TensorFlow
☆ 84View skill
GitHub
ml-pipeline-automation
Build end-to-end ML pipelines with automated data processing, training, validation, and deployment using Airflow, Kubeflow, and Jenkins
☆ 84View skill
GitHub
recommendation-engine
Build recommendation systems using collaborative filtering, content-based filtering, matrix factorization, and neural network approaches
☆ 84View skill
GitHub
anomaly-detection
Identify unusual patterns, outliers, and anomalies in data using statistical methods, isolation forests, and autoencoders for fraud detection and quality monitoring
☆ 84View skill
GitHub
dimensionality-reduction
Reduce feature dimensionality using PCA, t-SNE, and feature selection for feature reduction, visualization, and computational efficiency
☆ 84View skill
GitHub
recommendation-system
Build collaborative and content-based recommendation engines for product recommendations, personalization, and improving user engagement
☆ 84View skill
GitHub
model-deployment
Deploy machine learning models to production using Flask, FastAPI, Docker, cloud platforms (AWS, GCP, Azure), and model serving frameworks
☆ 84View skill
GitHub
sentiment-analysis
Classify text sentiment using NLP techniques, lexicon-based analysis, and machine learning for opinion mining, brand monitoring, and customer feedback analysis
☆ 84View skill
GitHub
regression-modeling
Build predictive models using linear regression, polynomial regression, and regularized regression for continuous prediction, trend forecasting, and relationship quantification
☆ 84View skill
GitHub
causal-inference
Determine cause-and-effect relationships using propensity scoring, instrumental variables, and causal graphs for policy evaluation and treatment effects
☆ 84View skill
GitHub
model-monitoring
Monitor model performance, detect data drift, concept drift, and anomalies in production using Prometheus, Grafana, and MLflow
☆ 84View skill
GitHub
model-hyperparameter-tuning
Optimize hyperparameters using grid search, random search, Bayesian optimization, and automated ML frameworks like Optuna and Hyperopt
☆ 84View skill
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.